國立虎尾科技大學 |

Causal analytics for applied risk analysis

紀錄類型:	書目-語言資料,印刷品 : Monograph/item
正題名/作者:	Causal analytics for applied risk analysis/ by Louis Anthony Cox Jr., Douglas A. Popken, Richard X. Sun.
作者:	Cox, Louis Anthony.
其他作者:	Popken, Douglas A.
出版者:	Cham :Springer International Publishing : : 2018.,
面頁冊數:	xxii, 588 p. :ill., digital ; : 24 cm.;
Contained By:	Springer eBooks
標題:	Risk assessment. -
電子資源:	http://dx.doi.org/10.1007/978-3-319-78242-3
ISBN:	9783319782423

Causal analytics for applied risk analysis
Cox, Louis Anthony.

Causal analytics for applied risk analysis[electronic resource] /by Louis Anthony Cox Jr., Douglas A. Popken, Richard X. Sun. - Cham :Springer International Publishing :2018. - xxii, 588 p. :ill., digital ;24 cm. - International series in operations research & management science,v.2700884-8289 ;. - International series in operations research & management science ;106..

Causal analytics methods can revolutionize the use of data to make effective decisions by revealing how different choices affect probabilities of various outcomes. This book presents and illustrates models, algorithms, principles, and software for deriving causal models from data and for using them to optimize decisions with uncertain outcomes. It discusses how to describe and summarize situations; detect changes; evaluate effects of policies or interventions; learn what works best under different conditions; predict values of as-yet unobserved quantities from available data; and identify the most likely explanations for observed outcomes, including surprises and anomalies. The book resents practical techniques for causal modeling and analytics that practitioners can apply to improve understanding of how choices affect probabilities of consequences and, based on this understanding, to recommend choices that are more likely to accomplish their intended objectives. The book begins with a survey of modern analytics methods, focusing mainly on techniques useful for decision, risk, and policy analysis. Chapter 2 introduces free in-browser software, including the Causal Analytics Toolkit (CAT) software, to enable readers to perform the analyses described and to apply modern analytics methods easily to their own data sets. Chapters 3 through 11 show how to apply causal analytics and risk analytics to practical risk analysis challenges, mainly related to public and occupational health risks from pathogens in food or from pollutants in air. Chapters 12 through 15 turn to broader questions of how to improve risk management decision-making by individuals, groups, organizations, institutions, and multi-generation societies with different cultures and norms for cooperation. These chapters examine organizational learning, community resilience, societal risk management, and intergenerational collaboration and justice in managing risks.

ISBN: 9783319782423

Standard No.: 10.1007/978-3-319-78242-3doiSubjects--Topical Terms:

562699
Risk assessment.

LC Class. No.: HD61

Dewey Class. No.: 658.155

Causal analytics for applied risk analysis
LDR:03026nam a2200325 a 4500 001 926883
003 DE-He213
005 20181228144358.0
006 m d
007 cr nn 008maaau
008 190626s2018 gw s 0 eng d
020 $a 9783319782423 $q (electronic bk.)
020 $a 9783319782409 $q (paper)
024 7 $a 10.1007/978-3-319-78242-3 $2 doi
035 $a 978-3-319-78242-3
040 $a GP $c GP
041 0 $a eng
050 4 $a HD61
072 7 $a KJT $2 bicssc
072 7 $a KJMD $2 bicssc
072 7 $a BUS049000 $2 bisacsh
082 0 4 $a 658.155 $2 23
090 $a HD61 $b .C877 2018
100 1 $a Cox, Louis Anthony. $3 1205810
245 1 0 $a Causal analytics for applied risk analysis $h [electronic resource] / $c by Louis Anthony Cox Jr., Douglas A. Popken, Richard X. Sun.
260 $a Cham : $c 2018. $b Springer International Publishing : $b Imprint: Springer,
300 $a xxii, 588 p. : $b ill., digital ; $c 24 cm.
490 1 $a International series in operations research & management science, $x 0884-8289 ; $v v.270
520 $a Causal analytics methods can revolutionize the use of data to make effective decisions by revealing how different choices affect probabilities of various outcomes. This book presents and illustrates models, algorithms, principles, and software for deriving causal models from data and for using them to optimize decisions with uncertain outcomes. It discusses how to describe and summarize situations; detect changes; evaluate effects of policies or interventions; learn what works best under different conditions; predict values of as-yet unobserved quantities from available data; and identify the most likely explanations for observed outcomes, including surprises and anomalies. The book resents practical techniques for causal modeling and analytics that practitioners can apply to improve understanding of how choices affect probabilities of consequences and, based on this understanding, to recommend choices that are more likely to accomplish their intended objectives. The book begins with a survey of modern analytics methods, focusing mainly on techniques useful for decision, risk, and policy analysis. Chapter 2 introduces free in-browser software, including the Causal Analytics Toolkit (CAT) software, to enable readers to perform the analyses described and to apply modern analytics methods easily to their own data sets. Chapters 3 through 11 show how to apply causal analytics and risk analytics to practical risk analysis challenges, mainly related to public and occupational health risks from pathogens in food or from pollutants in air. Chapters 12 through 15 turn to broader questions of how to improve risk management decision-making by individuals, groups, organizations, institutions, and multi-generation societies with different cultures and norms for cooperation. These chapters examine organizational learning, community resilience, societal risk management, and intergenerational collaboration and justice in managing risks.
650 0 $a Risk assessment. $3 562699
650 0 $a Risk management. $3 559158
650 1 4 $a Business and Management. $2 eflch $3 934826
650 2 4 $a Operations Research/Decision Theory. $3 669176
650 2 4 $a Big Data/Analytics. $3 1106909
650 2 4 $a Risk Management. $3 569483
700 1 $a Popken, Douglas A. $3 1205811
700 1 $a Sun, Richard X. $3 1205812
710 2 $a SpringerLink (Online service) $3 593884
773 0 $t Springer eBooks
830 0 $a International series in operations research & management science ; $v 106. $3 744236
856 4 0 $u http://dx.doi.org/10.1007/978-3-319-78242-3
950 $a Business and Management (Springer-41169)